An intake assistant that clears the overnight queue by 8am
Patient enquiries arrived around the clock but were only triaged once staff logged in.
- 63% auto-resolved
- 0 missed urgent cases
JobTrack is a lean field-service SaaS product covering job scheduling, technician mobile check-in, and a live dashboard of work in progress — built and shipped as a real, sellable product in three weeks of sprints rather than an internal prototype.
A field-service operator ran their entire business on paper job sheets and phone calls — scheduling by memory, tracking completed jobs by hand, and losing all visibility the moment a technician left the office. That's workable with two technicians and one owner keeping track. It breaks down the moment a third technician joins, because there's no shared record of what's scheduled, what's done, or where anyone actually is.
We scoped and shipped a real product, not a prototype:
The easy way to ship an MVP fast is to build it single-tenant for the first customer and worry about supporting others later — it's a smaller build and gets the first user live sooner. It also means rebuilding the data model later to bolt on multi-tenancy, which is a much bigger job once real customer data is already in the system. We built it multi-tenant from the first sprint instead, which added some upfront design work but meant the product could be sold to a second and third operator without a rebuild — the actual point of calling it a SaaS product.
A web and mobile front end handles scheduling and check-in, a multi-tenant database backs the platform, and a hosted backend serves both without per-customer infrastructure.
Have a process that looks like this one? We'll map it and tell you what automating it would cost.
Start a projectA regional courier planned every route by hand each morning, delaying the first pickups.
Patient enquiries arrived around the clock but were only triaged once staff logged in.
A staffing firm's consultants spent mornings researching prospects instead of speaking to them.
Every return needed three back-and-forth emails before a label was issued.
We'll map the work, tell you honestly whether it's worth automating, and scope it before anything is built.